I am going to do topic modeling via LDA. I run my commands to see the optimal number of topics. The output was as follows: It is a bit different from any other plots that I have ever seen. Do you think it is okay? or it is better to use other algorithms rather than LDA. It is worth mentioning that when I run my commands to visualize the topics-keywords for 10 topics, the plot shows 2 main topics and the others had almost a strong overlap. Is there any valid range for coherence?
Many thanks to share your comments as I am a beginner in topic modeling.
Shameless self-promotion: I suggest you use the OCTIS library: https://github.com/mind-Lab/octis It allows you to run different topic models and optimize their hyperparameters (also the number of topics) in order to select the best result.
There might be many reasons why you get those results. But here some hints and observations:
References: https://www.aclweb.org/anthology/2021.eacl-demos.31/
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